Data Engineer

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We at Verdantas, seeking for Data Engineer. A Data Engineer is responsible for designing, building, and maintaining scalable, reliable, and high‑performance data systems. The role focuses on developing efficient ETL/ELT pipelines, ensuring data quality, managing data storage systems, and enabling analytics, reporting, and machine-learning use cases. This position collaborates closely with data scientists, analysts, architects, and business stakeholders to ensure seamless data availability and accessibility. The position requires in-office work in Pune, Maharashtra, India.

Key Responsibilities Technical Expertise Strong proficiency in

SQL and Python

1 2. Experience with distributed data processing frameworks (e.g., Spark, Flink) 1. Familiarity with cloud data ecosystems (AWS, Azure, GCP) 1. Experience working with ETL/ELT orchestration tools. Understanding of data modeling, metadata management, and governance.

Soft Skills Strong problem-solving and analytical skills. Ability to communicate complex data topics to non‑technical audiences 4. Collaborative mindset and stakeholder engagement skills.

Education & Experience Bachelor’s/master’s degree in computer science, Information Systems, Data Engineering, or equivalent. Typically,

3–8+ years

of hands-on data engineering experience (depending on level).

Preferred Certifications Google Professional Data Engineer Microsoft Certified: Azure Data Engineer Associate AWS Certified Data Analytics – Specialty

Location and Work Set-up · Pune, Maharashtra, India · Work Mode: In Office